PDF Table Extractor (Rainmaker Wells) is a paid API for AI agents from well-001-extract-table.rainmaker-wells.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Extracts structured tables from PDF files, returning headers and rows as JSON, with optional schema mapping and page limits.
Extract tables from a PDF ($0.01 USDC via x402). Pass pdf_base64 or a https pdf_url. Optional schema maps headers. Optional max_pages (1-10). Returns JSON { pages, tables: [{ page, headers, rows }], warnings }. Text PDFs are parsed in-worker; scans require HOSTED_PARSER_URL.
Returns a JSON object containing: the total number of pages processed, an array of tables each with their page number, column headers, and row data, plus any warnings (e.g. scan-detected pages that required an external parser).
POSThttps://well-001-extract-table.rainmaker-wells.workers.dev/mcp?utm_source=zero.xyz#extract-table-from-pdf#extract-table-from-pdfChoose this endpoint when you need to extract structured tabular data from a PDF document programmatically, especially when the PDF contains text-based tables (not scanned images). It is well-suited for financial reports, invoices, data sheets, and research papers where table structure needs to be preserved as headers and rows. At $0.01 per call it is cost-effective for one-off or moderate-volume extraction tasks.
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